WSNet: Towards An Effective Method for Wound Image Segmentation
Author:
Affiliation:
1. Woundtech Innovative Healthcare Solutions
2. IIIT,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030591.pdf?arnumber=10030591
Reference43 articles.
1. Densely Connected Convolutional Networks
2. Fully automatic wound segmentation with deep CNNs;wang;Scientific Reports,2020
3. Squeeze-and-Excitation Networks
4. Efficient detection of wound-bed and peripheral skin with statistical colour models
5. Multi-dimensional Color Histograms for Segmentation of Wounds in Images
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Evaluation of a Semi-Automated Wound-Halving Algorithm for Split-Wound Design Studies: A Step towards Enhanced Wound-Healing Assessment;Journal of Clinical Medicine;2024-06-20
2. Wound Tissue Segmentation and Classification Using U-Net and Random Forest;Journal of Information & Knowledge Management;2024-06-10
3. Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27
4. Assessing the Performance of U-Net in 3D Medical Image Segmentation;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21
5. Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds;Frontiers in Medicine;2024-01-31
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3